Yahoo Finance Nifty Historical Data -

print(nifty[['Adj Close', 'volatility']].tail())

import yfinance as yf nifty = yf.download('^NSEI', start='2010-01-01', end='2023-12-31') View the first 5 rows print(nifty.head()) Save to CSV nifty.to_csv('nifty_historical.csv') yahoo finance nifty historical data

For decades, the Nifty 50 has been the heartbeat of the Indian equity market. Whether you're backtesting a trading strategy, calculating beta against the broader market, or simply tracking long-term wealth creation, reliable historical data is non-negotiable. print(nifty[['Adj Close', 'volatility']]

Download ^NSEI data from 1995 to today. Plot the log-scale chart. You'll see India's growth story in a single graph – and you didn't pay a rupee for it. Disclaimer: This article is for educational purposes. Always verify critical data from official sources before making investment decisions. Plot the log-scale chart

While platforms like Bloomberg Terminal and Reuters are gold standards, they come with a hefty price tag. Enter – a surprisingly powerful, free, and widely accessible source for Nifty historical data.

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